3 ways AI will transform manufacturing jobs

There’s no question that artificial intelligence (AI) is changing manufacturing jobs. The introduction of new technologies will inevitably disrupt familiar roles, but it will also serve as a catalyst for new opportunities.

While industrial robots have been on manufacturing floors for more than 60 years, AI is ushering in a new generation of intelligent machines that offer greater flexibility and adaptability on the factory floor. As manufacturers navigate workforce shortages, higher costs, and changing customer needs, this new era of automation is raising questions about the professional landscape and how it will shift.

The most significant impact of AI in manufacturing jobs is not outright job loss, but job transformation. 

Humans are likely to remain at the center of smart manufacturing, reshaping more jobs than it replaces, a recent Boston Consulting Group report predicts. According to the report, AI will reshape 50-55% of jobs in the U.S. over the next two to three years.

AI can address persistent talent challenges, supercharging training, onboarding, feedback loops, and collaboration. Furthermore, it can impact product innovation in terms of testing, efficiency, and ideation. But uniquely human skills, like creativity, collaboration, critical thinking, adaptability, and emotional intelligence, will remain essential. In fact, 81% or more of task hours across the industrial manufacturing sector are likely to remain human-driven, according to a recent Deloitte analysis.

More and more, employees collaborate with machines, using AI tools to monitor systems, interpret data, and make smarter choices. In doing so, manufacturing leaders are able to quickly iterate and improve overall quality in every facet of manufacturing. And these partnerships are increasingly common across manufacturing jobs, for example:

This shift demands a new type of manufacturing worker — one with both technical knowledge and digital literacy. With the median age of 44 among U.S. manufacturing workers, it is essential to bridge the gap between digitally fluent younger employees and experienced, older generations. Younger workers bring fresh technology skills, while seasoned employees provide valuable operational expertise and industry knowledge.

Company leaders must develop a clear vision to guide the shift in manufacturing jobs and proactively manage the resulting business transformation.

AI can offer unprecedented efficiency and insights, but it’s only as effective as the people working with it. As AI becomes the norm, it requires human collaboration and oversight.

For many businesses, that means bridging the AI learning gap:

By understanding where people lack the essential skills to implement AI, manufacturers can better manage the transition and create value across the business.

AI is positioned to redefine and reposition the manufacturing sector. While AI reshapes some roles, it will also create new ones. AI-enabled enhanced data processing, for example, paves the way for analysts who interpret information and make much more data-driven and precise recommendations. And the growth of AI-driven manufacturing is fueling demand for more positions, including:

Measuring the impact of AI on manufacturing jobs is complex. There’s no doubt that innovation waves result in some job losses, most visible in highly automated manufacturing jobs. But the data currently shows limited signs of widespread disruption. Furthermore, when AI positively impacts product innovation, it leads to new market opportunities, which then translates into job growth. As we approach this new era of AI integration and collaboration, there’s an opportunity for business leaders to ride the wave by building out upskilling and reskilling plans, exploring ways to reshape roles in alignment with evolving business strategies, and exploring areas where teams may need to expand with new efficiencies.

Not sure where to start upskilling your teams for AI readiness? Contact one of our advisors today.